Factual package intelligence from PyPI

insurance-optimise 0.7.0 package intelligence

Constrained portfolio rate optimisation for UK personal lines insurance, with FCA ENBP enforcement, demand-linked objectives, efficient frontier, 3-objective Pareto surface with fairness, model quality LR adjustment, robust multi-line reinsurance, linear risk sharing pools, and c

pip install insurance-optimise

Current version
0.7.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
394.7 KiB
Release history
11 releases with files
Median release cadence
2 days

insurance-optimise dependencies

PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.25
  2. pandas >=2.0
  3. polars >=1.0
  4. pyarrow >=14.0
  5. scikit-learn >=1.6
  6. scipy >=1.12
  7. statsmodels >=0.14.5

The compact report shows 25 of 28 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

insurance-optimise publishes 1 wheel and 1 source archive for version 0.7.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .